File size: 1,690 Bytes
e006ab0 19665b7 e006ab0 19665b7 42d9ec1 6bd2bcd 1bf937b 19665b7 6bd2bcd 19665b7 1bf937b 19665b7 6bd2bcd 1bf937b 19665b7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut_pdf_ocr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut_pdf_ocr
This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0443
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0829 | 1.0 | 47 | 0.1157 |
| 0.0184 | 2.0 | 94 | 0.1660 |
| 0.0533 | 3.0 | 141 | 0.0765 |
| 0.0765 | 4.0 | 188 | 0.0530 |
| 0.101 | 5.0 | 235 | 0.0481 |
| 0.0936 | 6.0 | 282 | 0.0494 |
| 0.1032 | 7.0 | 329 | 0.0524 |
| 0.0033 | 8.0 | 376 | 0.0460 |
| 0.0185 | 9.0 | 423 | 0.0440 |
| 0.0044 | 10.0 | 470 | 0.0443 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
|